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Data Governance Context Engineer

Hays

Canada · On-site Full-time Executive 5d ago

About the role

Your New Company

A leading global financial services organization is seeking to strengthen its Corporate Services function by investing in advanced data governance and semantic capabilities. The team focuses on delivering trusted business information, analytics, and data services that support enterprise decision‑making and enhance the employee and client experience.

Your New Role

We are seeking a Data Governance Context Specialist (Director level) to design, evolve, and operationalize semantic models and knowledge graphs that improve data understanding, consistency, and reuse across the organization.

This is a hands‑on individual contributor role within Business Information Services, working closely with business functions such as Real Estate or Corporate Security. You will collaborate with subject matter experts and data teams to translate real‑world business concepts into well‑structured semantic models that enable analytics, AI, and data integration use cases.

What You’ll Need to Succeed

  • 6+ years of professional experience in semantic modeling, ontology development, or knowledge graph design, plus a Bachelor’s degree or equivalent practical experience
  • Hands‑on experience designing and applying ontologies, taxonomies, and semantic models in real‑world data environments
  • Strong working knowledge of semantic web technologies (RDF, RDFS, OWL)
  • Experience building and managing knowledge graphs; tools such as Neo4j are a strong plus
  • Ability to translate complex business concepts into clear, structured semantic representations
  • Familiarity with Python for data work, automation, or supporting semantic and AI workflows
  • Strong communication skills and the ability to partner effectively with both technical and non‑technical stakeholders

Nice to have

  • Experience with graph‑enabled AI approaches (e.g., GraphRAG)
  • Exposure to Collibra or other AI/ML data quality solutions
  • Knowledge of data stewardship, metadata management, data lineage, or master data management
  • Familiarity with business intelligence tools and automation platforms

What You’ll Get in Return

  • A senior‑level role with enterprise‑wide visibility and impact
  • The opportunity to shape how business data is understood, governed, and reused at scale
  • Close collaboration with domain experts, data platform teams, and business leaders
  • A culture that values innovation, collaboration, and continuous improvement
  • Competitive compensation and comprehensive benefits

What You Need to Do Now

If you’re passionate about semantic modeling, knowledge graphs, and improving enterprise data understanding, apply now to learn more about this opportunity.

Requirements

  • Hands-on experience designing and applying ontologies, taxonomies, and semantic models in real-world data environments
  • Strong working knowledge of semantic web technologies (RDF, RDFS, OWL)
  • Experience building and managing knowledge graphs
  • Ability to translate complex business concepts into clear, structured semantic representations
  • Familiarity with Python for data work, automation, or supporting semantic and AI workflows
  • Strong communication skills and the ability to partner effectively with both technical and non-technical stakeholders

Responsibilities

  • Design, evolve, and operationalize semantic models and knowledge graphs that improve data understanding, consistency, and reuse across the organization.

Benefits

health insurancedental insurancevision insurance

Skills

AICollibraData lineageData stewardshipGraphRAGKnowledge graphsMaster data managementMetadata managementNeo4jOntologiesOWLPythonRDFRDFSSemantic modelsSemantic web technologiesTaxonomies

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